📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

ML Fundamentals

Designing a Machine Learning Project with Neal Khosla (2019)

Weights & Biases Beginner 6y ago

ML Fundamentals

How a Biologist became a Data Scientist

Data Professor Beginner 6y ago

ML Fundamentals

Tutorial 21- What is Convolution operation in CNN?

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 20- Convolution Neural Network vs Human Brain

Krish Naik Beginner 6y ago

ML Fundamentals

What is PyTorch?

PyTorch Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

These books will help you learn machine learning

Daniel Bourke Beginner 6y ago

ML Fundamentals

Supervised Learning: Crash Course AI #2

CrashCourse Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Inside TensorFlow: tf.distribute.Strategy

TensorFlow Intermediate 6y ago

ML Fundamentals ⚡ AI Lesson

Model Understanding and Business Reality (TensorFlow Extended)

TensorFlow Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Tesla is Going to Win Level 5 - George Hotz | AI Podcast Clips

Lex Fridman Beginner 6y ago

ML Fundamentals

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

Yannic Kilcher Intermediate 6y ago

ML Fundamentals ⚡ AI Lesson

The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals

Siamese Neural Networks

Connor Shorten Advanced 6y ago

ML Fundamentals

NASA Chief Scientist | Dr. Jim Green | Talks at Google

Talks at Google Beginner 6y ago

ML Fundamentals

Manifold Mixup: Better Representations by Interpolating Hidden States

Yannic Kilcher Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Multi Programming - Computerphile

Computerphile Intermediate 6y ago

ML Fundamentals

Troubleshooting and Iterating ML Models with Lee Redden (2019)

Weights & Biases Beginner 6y ago

ML Fundamentals

University of Illinois Master of Computer Science (& MCS-DS) - a top-ranked degree

Coursera Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Automated ML for RNA Design with Danny Stoll - TWIML Talk #288

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Crash Course Artificial Intelligence Preview

CrashCourse Beginner 6y ago

ML Fundamentals

Rage Inside The Machine | Robert Elliott Smith | Talks at Google

Talks at Google Beginner 6y ago

ML Fundamentals

How To Handle Missing Values in Categorical Features

Krish Naik Intermediate 6y ago

ML Fundamentals

Cosine Similarity and Cosine Distance

Krish Naik Intermediate 6y ago

ML Fundamentals

Euclidean Distance and Manhattan Distance

Krish Naik Intermediate 6y ago

ML Fundamentals

Why Do I Teach? Motivations

Krish Naik Intermediate 6y ago

ML Fundamentals

Data Engineer vs Data Analyst vs Data Scientist

Krish Naik Intermediate 6y ago

ML Fundamentals

What Do A Data Scientist Do?

Krish Naik Intermediate 6y ago

ML Fundamentals

Why Do We Need to Perform Feature Scaling?

Krish Naik Intermediate 6y ago

ML Fundamentals

Different Types of Feature Engineering Encoding Techniques

Krish Naik Intermediate 6y ago

ML Fundamentals

How to Crack Data Science Interviews- Motivations

Krish Naik Intermediate 6y ago

ML Fundamentals

What should be your Salary Expectation as a Data Scientist?

Krish Naik Intermediate 6y ago

ML Fundamentals

Step By Step Transition Towards Data Science

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 37: Entropy In Decision Tree Intuition

Krish Naik Beginner 6y ago

ML Fundamentals

Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables

Krish Naik Intermediate 6y ago

ML Fundamentals

Complete Life Cycle of a Data Science Project

Krish Naik Intermediate 6y ago

ML Fundamentals

My Path on Becoming a Data Scientist- Motivation

Krish Naik Intermediate 6y ago

ML Fundamentals

Train Test Split vs K Fold vs Stratified K fold Cross Validation

Krish Naik Intermediate 6y ago

ML Fundamentals

What is Cross Validation and its types?

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 19- Training Artificial Neural Network using Google Colab GPU

Krish Naik Beginner 6y ago

ML Fundamentals

Applied Deep Learning - Troubleshooting and Debugging with Josh Tobin (2019)

Weights & Biases Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Distributed Processing and Components (TensorFlow Extended)

TensorFlow Beginner 6y ago

ML Fundamentals

Tutorial 18- Hyper parameter Tuning To Decide Number of Hidden Layers in Neural Network

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 17- Create Artificial Neural Network using Weight Initialization Tricks

Krish Naik Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 5

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Reconciling modern machine learning and the bias-variance trade-off

Yannic Kilcher Advanced 6y ago

ML Fundamentals

Tutorial 4- Book Recommendation using Collaborative Filtering

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 16- AdaDelta and RMSprop optimizer

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 3- Book Recommendation System using Pearson Correlation

Krish Naik Beginner 6y ago